Date created This project was created at 6th of December 2018.

Python Script to explore US Bikeshare Data

The datasets used for this script contain bike share data for the cities Chicago, New York City and Washington. Some data wrangling has been performed by Udacity's staff before being provided to the students.

The data files for all cities contain the same six columns:

Start Time End Time Trip Duration (in seconds) Start Station End Station User Type (Subscriber or Customer)

The Chicago and New York City files also contain the following two columns:

Gender Birth Year

chicago.csv new_york_city.csv washington.csv

What is the most popular month for start time? What is the most popular day of week (Monday, Tuesday, etc.) for start time? What is the most popular hour of day for start time? What is the total trip duration and average trip duration? What is the most popular start station and most popular end station? What is the most popular trip? What are the counts of each user type? What are the counts of gender? What are the earliest and the most recent birth years?